2.1. Generalized simplex method
The simplex method has been very successful in solving LP problems[10.11) It was invented by George B Dantzig in the summer of 1947.
The first significant application is that Laderman solved a dict-planning problem with nine equality constraints and 27 non-negative variables.
Before the simplex method can be used to solve a LP problem, the constraint set must be converted into the equivalent form in which all constraints are equations and all variables are non negative.
This is the so-called standard form .
In order to convert into standard form, each inequality constraint must be replaced by an equality constraint.
If the ith constraint of the problem set is s, convert it to an equality by adding a slack the ith constraint and adding another restriction 0. In contrast to this, the th constraint of the problem set is it will be converted to an equality constraint by an excess variable to the Jth constraint and adding another restriction 0. consider the problem in standard form(see[8) for more details maximize